5 papers
Distribution Steering via Sliced Optimal Transport Control
Kaito Ito, Anqi Dong
Distribution steering seeks feedback laws that drive the state law of a dynamical system between prescribed initial and terminal distributions. Optimal transport provides a natural…
Sliced Wasserstein Steering between Gaussian Measures
Kaito Ito, Anqi Dong
Optimal transport with quadratic cost provides a geometric framework for steering an ensemble, modeled by a probability law, with minimal effort. Yet ambient-space formulations bec…
Optimal Centered Active Excitation in Linear System Identification
Kaito Ito, Alexandre Proutiere
We propose an active learning algorithm for linear system identification with optimal centered noise excitation. Notably, our algorithm, based on ordinary least squares and semidef…
Maximum Entropy Density Control of Discrete-Time Linear Systems with Quadratic Cost
Kaito Ito, Kenji Kashima
This paper addresses the problem of steering the distribution of the state of a discrete-time linear system to a given target distribution while minimizing an entropy-regularized c…
Risk-sensitive control as inference with Rényi divergence
Kaito Ito, Kenji Kashima
This paper introduces the risk-sensitive control as inference (RCaI) that extends CaI by using Rényi divergence variational inference. RCaI is shown to be equivalent to log-probab…